skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Effect of time resolution on statistical modeling of cooling energy use in large commercial buildings

Conference ·
OSTI ID:211799
 [1]; ;  [2]
  1. Pacific Northwest Lab., Richland, WA (United States)
  2. Texas A and M Univ., College Station, TX (United States)

Regression models of measured energy use in commercial buildings are becoming an increasingly popular method of determining retrofit savings or identifying operational and maintenance (O and M) problems. When hourly monitored data are available, an issue that arises is what time resolution to adopt for regression models to be most accurate. This paper addresses this question by comparing monthly, daily, hourly, and individual hourly or hour-of-day (HOD) multiple linear regression (MLR) models when applied to measured cooling energy consumption ({dot E}{sub c}) in commercial buildings. {dot E}{sub c} consumption in five large commercial buildings in Texas (both under dual-duct constant-volume [DDCV] and dual-duct variable-volume [VAV] operation) is modeled in all four time scales using functional forms based on engineering principles. The relative advantages and disadvantages of all four types of models are discussed and compared. The outdoor dry-bulb and dew-point temperatures accounted for most of the variation (80% or more) in {dot E}{sub c}. Although the monthly models had higher model R{sup 2} than daily, hourly, and HOD models, the daily and HOD models proved more accurate at predicting {dot E}{sub c}. Also, the HOD models had higher model R{sup 2} and lower coefficients of variation (CV) than the hourly models. The results of this study suggest that daily time scale models are most advantageous for retrofit savings determination, while HOD models are best for O and M purposes.

OSTI ID:
211799
Report Number(s):
CONF-950624-; TRN: IM9617%%115
Resource Relation:
Conference: Annual meeting of the American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc. (ASHRAE), San Diego, CA (United States), 24-28 Jun 1995; Other Information: PBD: 1995; Related Information: Is Part Of ASHRAE transactions 1995: Technical and symposium papers. Volume 101, Part 2; PB: 1497 p.
Country of Publication:
United States
Language:
English

Similar Records

Multivariate regression modeling
Journal Article · Sat Aug 01 00:00:00 EDT 1998 · Journal of Solar Energy Engineering · OSTI ID:211799

Use of simplified system models to measure retrofit energy savings
Journal Article · Sat May 01 00:00:00 EDT 1993 · Journal of Solar Energy Engineering; (United States) · OSTI ID:211799

Bias in predicting annual energy use in commercial buildings with regression models developed from short data sets
Conference · Wed Nov 01 00:00:00 EST 1995 · OSTI ID:211799